Learning Types
32,670 papers (1 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Representation Learning (5,307)
Multimodal Learning (3,969)
Self-Supervised Learning (3,492)
Transfer Learning (2,890)
Adversarial Learning (2,199)
Deep Learning (1,883)
Contrastive Learning (1,730)
Reinforcement Learning (1,500)
Knowledge Distillation (1,494)
Fine-Tuning (1,117)
Multi-Task Learning (1,069)
Domain Adaptation (977)
Zero-Shot Learning (758)
Unsupervised Learning (734)
Few-Shot Learning (694)
Classification (621)
Retrieval-Augmented Generation (606)
Data Augmentation (583)
Semi-Supervised Learning (450)
Weakly Supervised Learning (429)
Continual Learning (408)
In-Context Learning (387)
Sequence Modeling (375)
Meta-Learning (252)
Metric Learning (232)
Ensemble Learning (223)
Federated Learning (215)
Multi-Lingual Learning (199)
Robustness (197)
Parameter-Efficient Fine-Tuning (190)
Imitation Learning (180)
Prompt Engineering (170)
Chain-of-Thought Reasoning (153)
Curriculum Learning (146)
Synthetic Data Generation (143)
Reinforcement Learning from Human Feedback (141)
Multi-Label Classification (123)
Regression (117)
Generative Model (109)
Semantic Segmentation (106)
Domain Generalization (105)
Uncertainty Quantification (98)
Controllable Generation (93)
Text Generation (86)
Neural Architecture Search (80)
Object Detection (80)
Image Generation (79)
Multi-Agent Systems (76)
Feature Learning (74)
Preference Learning (73)
Machine Translation (71)
Out-of-Distribution Detection (68)
Machine Unlearning (63)
Generation (61)
Reasoning (54)
Multi-View Learning (53)
Time Series (52)
Instruction Tuning (50)
Distributed Learning (50)
Image Restoration (49)
Chain-of-Thought (48)
Active Learning (47)
Text Classification (43)
Distribution Shift (43)
Structured Prediction (42)
Clustering (41)
Image Classification (40)
Model Merging (37)
Sparse Learning (36)
Sequence Labeling (36)
Multi-Instance Learning (35)
Anomaly Detection (33)
Image Processing (33)
Code Generation (31)
Fairness (30)
Robust Learning (28)
Multi-Domain Learning (27)
Supervised Learning (26)
Model-Based RL (25)
Natural Language Generation (24)
Privacy (21)
Multi-Objective Optimization (19)
Multi-Scale Learning (19)
Neural Machine Translation (18)
Causal Inference (14)
Instance Segmentation (9)
Interactive Learning (9)
Multi-Label Learning (9)
Multi-Source Learning (9)
Multi-Class Classification (8)
Papers per year
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
'15
'20
'25
Papers (including subtopics)
PP-Brep: Few-Shot B-rep Classification with Hybrid Graph Representation
CVPR 2026
PPM-CLIP: Probabilistic Prompt Modeling for Generalizable AI-Generated Image Detection
CVPR 2026
Practical Guidelines for Model Merging in LLMs Pre-Training
ACL 2026
Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
ACL 2026
Pre-Deployment Advertisement Ranking under Data Scarcity via Context-Aware Criteria Generation with VLMs
ACL 2026
Pref-CTRL: Preference Driven LLM Alignment using Representation Editing
ACL 2026
Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
CVPR 2026
Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
CVPR 2026
Preserving Compositionality for Robust Multi-Subject Personalization in Text-to-Image Generation
UAI 2026
PRISMA: Preference-Reinforced Self-Training Approach for Interpretable Emotionally Intelligent Negotiation Dialogues
ACL 2026
PRISM: Learning a Shared Primitive Space for Transferable Skeleton Action Representation
CVPR 2026
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation
ACL 2026
Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models
ACL 2026
Privacy-preserving Prosody Representation Learning
ACL 2026
PriVi: Towards a General-Purpose Video Model for Primate Behavior in the Wild
CVPR 2026
PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data
CVPR 2026
PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation
CVPR 2026
Probabilistic Feature Imputation and Uncertainty-Aware Multimodal Federated Aggregation
MIDL 2026
Probabilistic Rainfall Downscaling: Joint Generalized Neural Models with Censored Spatial Gaussian Copula
JMLR 2026
Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport
WACV 2026
Process Reward Models Meet Planning: Generating Precise and Scalable Datasets for Step-Level Rewards
ACL 2026
ProductResearch: Training E-Commerce Deep Research Agents via Multi-Agent Synthetic Trajectory Distillation
ACL 2026
Progress by Pieces: Test-Time Scaling for Autoregressive Image Generation
CVPR 2026
Progressive Cross-Modal Causal Intervention for Long-Term Action Recognition
CVPR 2026